As we all know, a series of operations from the initial stage of product display to the optimization and maintenance will affect the optimization and whole cycle of crowd labeling. This article is still often shown to everyone.
Why are crowd labels confusing?
1. Low-priced drainage What I'm talking about here is my own high-priced products. Registering low-priced activities or discounts to attract buyers to order can easily lead to confusion in store labels and people in stores have to be correct.
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How to judge the label of your store?
& gt among business personnel, visitors can distribute the characteristics of visitors and analyze the crowd, consumption level, age and naughty value. You can also see the professional version of business people and see more portraits of people.
If the unit price of visitors and your customers does not match, and the mismatch ratio is too large, it can basically be judged as confusion of the group logo. Maybe your product has good measured data, but it can't be converted. At this point, it must be analyzed from the crowd.
From the whole Taobao, there will be many people's labels in the background, but you don't know and no one will tell you, so we can only get a general understanding through some simple features, but the low consumption level doesn't mean that you don't buy expensive products, and it doesn't necessarily mean that the consumption level is high, so you don't like it. What we can do is to do it as accurately as possible. You can't guarantee that the input 100 people 100 people meet the product label. What is the principle of correcting crowd labels through trains? Because all the straightens are through trains or through trains. Before you know the principle of human label straightening, you know the principle of human label straightening.
First, the system will drain the product according to the product label, and the crowd label is formed by the data of product drainage. Therefore, if you want to have the right label, you must try your best to introduce the right traffic.
There are more and more people with incorrect products, product labels are confusing and natural flow is insufficient. Through train to correct the crowd, through the correct language of through train and the input of customized crowd to drain the correct flow, so as to achieve the purpose of correcting the crowd. The focus of the through train crowd correction operation comes from customized groups, because the system group can help us expand more traffic, but our store group labels are not accurate, so the drainage accuracy will be biased, and the system will not be very effective according to the wrong label recommendation, so the most accurate method is to correct the labels through fixed groups in the case of chaotic store group labels. If you want to build a customized group, you must first understand the audience of your products and judge your group according to this range. Generally speaking, the principle of selecting people is to start with a large class of second-class talents and a small class of first-class talents. The first step is to identify the right person. Find the person or identity attribute in the basic attribute first, and basically do not have others. The second step is to combine the two combinations first. For example, when choosing women's age and consumption level, we usually combine people in this demographic attribute. If your group is male, male consumption level, male age. The third step is to make a premium according to your product portfolio, basically starting from about 30%-40%. After 3 days of investment, analyze the data obtained by the analyst and choose optimization. The fourth step, if you think the crowd is inaccurate, you can continue to find the accurate crowd by combining the three-level crowd. Basically, as long as you do this, you can find some customized people with good data. The sixth step is to continue to expand the high-quality population on the basis of customized crowd screening. After a period of optimization, see if your crowd has changed in the past week or month, and what data indicators are there. Then we began to expand the crowd. For example, smart updates in the store, long-term value groups and other people, allocate more high-quality traffic according to the crowd label of your store. Step 7, gradually increase sales, so that you can expand traffic again and take advantage of competitors. In other words, although similar Baohe stores have a high directional premium, they are mainly adjusted through data feedback to see who you are suitable for at this stage, and the operation will not die. Just follow your own rhythm.
Step 8 Under normal circumstances, the crowd in your store is gradually corrected and the flow of people is increased. In the case of more and more traffic, closed-loop traffic can be carried out to collect buyers. , you can also perform the previous step. The insurance premium is calculated according to the amount of data obtained, and the data performance is then adjusted.